New Relic Integrates AI Capabilities with Amazon Q Business for Enhanced Observability

New Relic and AWS Collaboration Delivers Intelligent Observability Platform to Amazon Q Business

New Relic delivers agentic orchestration and connects generative AI into enterprise business application workflows for intelligent recommendations and faster operations New Relic, the Intelligent Observability Platform, announced it is connecting New Relic AI, its in-platform generative AI assistant, into Amazon Q Business, AWS' enterprise generative AI assistant for streamlining complex workflows. By connecting New Relic's Intelligent Observability Platform with Amazon Q Business, New Relic goes beyond a simple API data pull to provide deep, intelligent insights and recommendations. The collaboration integrates Amazon Q Business' built-in retrieval augmented generation (RAG) capabilities with New Relic's real-time monitoring and intelligence to help enterprises quickly detect and resolve operational issues -- such as application performance slowdowns, server malfunctions, and network bottlenecks. Now, anyone across an enterprise organization can detect, understand, and address issues, and receive intelligent recommendations to inform escalation decisions -- all within Amazon Q Business. This enables more intelligent, faster, and cost effective business operations for enterprises. "Enterprises are focused on unlocking the value of their data, leveraging the potential of AI, and driving business growth," said New Relic CEO Ashan Willy. "New Relic is built to support agentic AI systems. We are the only intelligent observability platform to enable AI agent to AI agent integrations, or agentic orchestration. This allows us to go beyond simply bringing your observability data into other AI applications -- we unlock the full power of our AI-strengthened platform with intelligent recommendations so any user can automate observability workflows to drive faster operations." Centralizes critical observability insights to streamline workflows, break down team silos, and automate incident response Business interruptions can severely impact revenue and customer experience, especially during high-traffic periods. With data scattered across tools and knowledge sources, switching tools can lead to missed service level agreements (SLAs), confusion, and slow incident mitigation, which can prolong incidents and increase operational costs. By analyzing complex data and centralizing critical observability insights and actions into one interface, the two powerful AI systems break down team silos, streamline workflows, accelerate time to resolution, and automate incident response. "Switching tools and context is one of the most painful problems enterprises face in modern incident response. Data and knowledge can end up in silos, making it hard to understand what your tools are telling you and when to escalate problems," said New Relic Chief Product Officer Manav Khurana. "Together, New Relic and AWS are helping enterprises improve their business workflows and outcomes with AI. Bringing observability directly into the business application workflow is a game changer for gaining fast insights and intelligent recommendations on complex data so you can troubleshoot in real-time." Natural language allows any user to query and resolve issues with intelligent recommendations New Relic AI and Amazon Q Business now work together to enhance enterprise productivity. New Relic brings real-time production data like errors, logs, traces, security vulnerabilities, and alerts directly into Amazon Q Business experiences and workflows. All information and insights are presented directly within the Amazon Q Business interface, eliminating switching tools between New Relic and Amazon Q Business. By providing a unified interface for querying and resolving issues, the solution empowers the entire team to maintain and improve digital services, regardless of their technical expertise. Key features include: Natural language unlocks access for any user: Leverage natural language to access information, generate summaries, and complete tasks securely based on information in enterprise systems -- lowering the barrier to entry for resolving issues and speeding up resolution. Real-time service analysis and intelligent recommendations: Query specific services, hosts, and system components for performance insights drawn from current performance data and compare it against historical trends and best practices -- providing detailed insights and actionable recommendations based on the latest production environment information. Alert intelligence reporting: Package sophisticated insights and intelligent recommendations based on deep analysis into the health of an application-preventing or reducing negative business impacts from incidents. View information and insights directly within Amazon Q Business: Eliminates the need to switch between the New Relic and Amazon Q Business interfaces, enabling faster problem resolution. Agentic orchestration: Amazon Q Business and New Relic AI coordinate to automate research and incident response tasks. This helps eliminate human toil, prevent human error, and enforce best practices. This announcement builds upon New Relic's deep relationship with AWS and adds to its more than 105 existing AWS integrations and integration between New Relic AI monitoring and Amazon Bedrock. Availability New Relic AI is available as a plugin for Amazon Q Business and is coming soon to all customers. To express your interest in signing up for a trial, please email [email protected]. Learn more Visit New Relic's booth #519 at AWS re:Invent for a platform demo. New Relic Blog Post About New Relic The New Relic intelligent observability platform helps businesses eliminate interruptions in digital experiences. New Relic is the only AI-strengthened platform to unify and pair telemetry data to provide clarity over your entire digital estate. We move your problem solving past proactive to predictive by processing the right data at the right time to maximize value and control costs.

New Relic integrates with Amazon Q Business AI assistant to make observability understandable - SiliconANGLE

New Relic integrates with Amazon Q Business AI assistant to make observability understandable Cloud and application observability company New Relic Inc. today announced a new integration between its artificial intelligence capabilities and Amazon Web Service Inc.'s enterprise AI assistant Amazon Q Business. The company said the new collaboration will provide business and information technology workers a new way to quickly deal with operational issues in a way they never could before. By helping them understand the underlying problem by presenting it in a conversational language interface where they work instead of just viewing data on a dashboard. New Relic provides a real-time monitoring system that helps enterprises detect and resolve problems such as application performance slowdowns, server malfunctions and network bottlenecks. This data can be scattered across numerous different systems and difficult to gather, which is what New Relic's AI agents excel at combining. "The next level for our industry is to move past showing people things that they know they've asked for and into a system of intelligence that can dig into that information and actually help them understand," Nic Benders, chief technical strategist at New Relic, told SiliconANGLE in an interview. "The problem people are coming to us with is that people need to understand how their software works in reality." When a user encounters a problem in their business system, they might be looking at a dashboard because an alert brought them there, but that's just data. It's useful and important data but it might take time to digest and interpret. That's where Amazon Q comes in to help contextualize it into natural language based on the goals of the person looking at it. For example, if an issue has occurred after a recent update and the user is a developer. Behind the scenes, New Relic's AI agents would provide Amazon Q with all the data and information needed to understand the previous code, the code changes, the previous performance and the current performance. Amazon Q would then summarize the nature of the issue and how the code update could have affected it. That allows the user to ask for recommendations on how to fix the code or how to complete a rollback. Since Amazon Q now has access to the historical performance and the entire context of the company's technical systems and documents, it can act like an adviser that can help guide the process. "This is like having that experienced old timer sitting right next to you and having them say, 'Oh yeah, let me show you how this works,'" said Benders. "You're still going to it like you're in charge, but you've got this voice of experience by distilling out what is in the Amazon Q for Business and New Relic intelligence agents' expertise." New Relic's AI agent and Amazon Q can now work together to help business users understand complex workflows and issues to maintain and improve digital services, explained Benders. The people who would benefit most from the integration are those who have some technical expertise but don't have a full grasp of the system because they spend most of their time doing other work. With Amazon Q's conversational capabilities on their side answering questions, summarizing and filling in the gaps, they gain the benefit of that expert knowledge.